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CEC
2007
IEEE
15 years 6 months ago
Designing memetic algorithms for real-world applications using self-imposed constraints
— Memetic algorithms (MAs) combine the global exploration abilities of evolutionary algorithms with a local search to further improve the solutions. While a neighborhood can be e...
Thomas Michelitsch, Tobias Wagner, Dirk Biermann, ...
ECTEL
2009
Springer
15 years 4 months ago
CAMera for PLE
Successful self-regulated learning in a personalized learning environment (PLE) requires self-monitoring of the learner and reflection of learning behaviour. We introduce a tool ca...
Hans-Christian Schmitz, Maren Scheffel, Martin Fri...
DAGSTUHL
2006
15 years 7 months ago
6D SLAM with Cached kd-tree Search
6D SLAM (Simultaneous Localization and Mapping) or 6D Concurrent Localization and Mapping of mobile robots considers six degrees of freedom for the robot pose, namely, the x, y and...
Andreas Nüchter, Kai Lingemann, Joachim Hertz...
ITS
2010
Springer
171views Multimedia» more  ITS 2010»
15 years 11 months ago
Identifying Problem Localization in Peer-Review Feedback
Abstract. In this paper, we use supervised machine learning to automatically identify the problem localization of peer-review feedback. Using five features extracted via Natural L...
Wenting Xiong, Diane J. Litman
SAGA
2001
Springer
15 years 11 months ago
Evolutionary Search for Smooth Maps in Motor Control Unit Calibration
We study the combinatorial optimization task of choosing the smoothest map from a given family of maps, which is motivated from motor control unit calibration. The problem is of a ...
Jan Poland, Kosmas Knödler, Alexander Mittere...